

from math import ceil





def 	__a     (      A__			:  str			,  A__			:  Optional[Any]       ):
    SCREAMING_SNAKE_CASE										=   list(range(0			,  A__       )       )

    SCREAMING_SNAKE_CASE										=   [item for sublist in list(device_map.values()       ) for item in sublist]

    # Duplicate check
    SCREAMING_SNAKE_CASE										=   []
    for i in device_map_blocks:
        if device_map_blocks.count(A__       ) > 1 and i not in duplicate_blocks:
            duplicate_blocks.append(A__       )
    # Missing blocks
    SCREAMING_SNAKE_CASE										=   [i for i in blocks if i not in device_map_blocks]
    SCREAMING_SNAKE_CASE										=   [i for i in device_map_blocks if i not in blocks]

    if len(A__       ) != 0:
        raise ValueError(
            "Duplicate attention blocks specified in device_map. Attention blocks must be specified to one device."
            " These attention blocks were specified more than once: " + str(A__       )       )
    if len(A__       ) != 0:
        raise ValueError(
            "There are attention blocks for this model that are not specified in the device_map. Add these attention "
            "blocks to a device on the device_map: " + str(A__       )       )
    if len(A__       ) != 0:
        raise ValueError(
            "The device_map contains more attention blocks than this model has. Remove these from the device_map:"
            + str(A__       )       )





def 	__a     (      A__			:  Dict			,  A__			:  Optional[int]       ):
    SCREAMING_SNAKE_CASE										=   list(range(A__       )       )
    SCREAMING_SNAKE_CASE										=   int(ceil(n_layers / len(A__       )       )       )
    SCREAMING_SNAKE_CASE										=   [layers[i : i + n_blocks] for i in range(0			,  A__			,  A__       )]

    return dict(zip(A__			,  A__       )       )
def 							UpperCAmelCase		(       lowercase				,     lowercase				):







				"""simple docstring"""



				__lowercase					     =				word.split()

				def justify(lowercase				,     lowercase				,     lowercase				) -> str:
								__lowercase					     =				max_width - width
								__lowercase					     =				len(lowercase				)
								if len(lowercase				) == 1:
												# if there is only word in line
												# just insert overall_spaces_count for the remainder of line
												return line[0] + " " * overall_spaces_count
								else:
												__lowercase					     =				words_count - 1
												# num_spaces_between_words_list[i] : tells you to insert
												# num_spaces_between_words_list[i] spaces
												# after word on line[i]
												__lowercase					     =				spaces_to_insert_between_words * [
												    overall_spaces_count // spaces_to_insert_between_words
												]
												__lowercase					     =				(
												    overall_spaces_count % spaces_to_insert_between_words
												)
												# distribute spaces via round robin to the left words
												for i in range(lowercase				):
																num_spaces_between_words_list[i] += 1
												__lowercase					     =				[]
												for i in range(lowercase				):
																# add the word
																aligned_words_list.append(line[i]				)
																# add the spaces to insert
																aligned_words_list.append(num_spaces_between_words_list[i] * ''' '''				)
												# just add the last word to the sentence
												aligned_words_list.append(line[-1]				)
												# join the aligned words list to form a justified line
												return "".join(lowercase				)

				__lowercase					     =				[]
				__lowercase					     =				[]
				__lowercase					     =				0
				for word in words:
								if width + len(lowercase				) + len(lowercase				) <= max_width:
												# keep adding words until we can fill out max_width
												# width = sum of length of all words (without overall_spaces_count)
												# len(word) = length of current word
												# len(line) = number of overall_spaces_count to insert between words
												line.append(lowercase				)
												width += len(lowercase				)
								else:
												# justify the line and add it to result
												answer.append(justify(lowercase				,     lowercase				,     lowercase				)				)
												# reset new line and new width
												__lowercase     ,	__lowercase					     =				[word], len(lowercase				)
				__lowercase					     =				max_width - width - len(lowercase				)
				answer.append(''' '''.join(lowercase				) + (remaining_spaces + 1) * ''' '''				)
				return answer


if __name__ == "__main__":
		from doctest import testmod

		testmod()